FAKE CURRENCY DETECTION USING CNN

FAKE CURRENCY DETECTION USING CNN

1 Mohammed Sadiq B , 2 Nayana H

1 Professor, Department of Master of Computer Application, BIET, Davangere

2Student, Department of MCA, BIET, Davangere

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Abstract - Right now, Fake Currency Acknowledgment System is intended to identify the fake paper cash to check whether it is phony or unique. The current fake issue due to demonetization impacts the financial framework and furthermore in other fields. Another methodology of Convolution Neural Network towards ID of phony money notes through their pictures is inspected right now is similarly better than past picture handling strategies. This technique is in light of Deep Learning, which has seen huge achievement in picture arrangement assignments lately. This method can support the two individuals and machine in recognizing a phony cash note continuously through a picture of the equivalent. The proposed framework can likewise be conveyed as an application in the cell phone which can push the general public to recognize the phony and unique cash notes. The Precision in the proposed framework can be expanded through the high number of unique and phony notes.

Key Words: CNN, Currency, Deep Learning.